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Course Outline

Introduction to Azure Data Factory

  • Overview of Azure Data Factory capabilities
  • Core concepts and architectural framework
  • Key use cases and business benefits of ADF

Setting Up Your ADF Environment

  • Provisioning and configuring an ADF instance
  • Navigating the Azure Data Factory user interface
  • Understanding integration runtimes

Working with Datasets and Linked Services

  • Defining datasets and establishing linked services
  • Connecting to various data source types
  • Configuring authentication and secure connections

Creating Data Pipelines

  • Foundations of pipelines and their components
  • Building simple data pipelines using activities
  • Constructing pipelines for data movement

Data Flow and Transformation Activities

  • Introduction to data flow concepts
  • Exploring data transformation activities
  • Designing and executing data flow transformations

Scheduling and Triggering Pipelines

  • Automating pipeline execution with triggers
  • Utilizing tumbling window and event-based triggers
  • Monitoring pipeline activity and interpreting output logs

Debugging and Error Handling

  • Debugging pipelines and data flows
  • Implementing robust error handling and retry strategies
  • Integrating error handling into existing pipelines

Performance Optimization

  • Best practices for optimizing data pipeline performance
  • Managing parallelism and partitioning settings
  • Enhancing overall pipeline efficiency

Security and Monitoring

  • Securing ADF through access control and permissions
  • Implementing data encryption and secure transfer mechanisms
  • Monitoring pipelines using built-in tools and alerting systems

Advanced Scenarios and Integration

  • Integrating ADF with complementary Azure services
  • Addressing complex data integration challenges
  • Developing a comprehensive end-to-end data integration solution

Summary and Next Steps

Requirements

  • Fundamental understanding of cloud computing principles
  • Awareness of data integration workflows and ETL processes

Target Audience

  • Data engineers
  • Data analysts
  • ETL developers
  • IT specialists
 14 Hours

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